A Unified Logging and Monitoring Framework for Auditability of AI-Augmented Salesforce Workflows

Abstract

As artificial intelligence (AI) becomes increasingly integrated into enterprise Customer Relationship Management (CRM) systems like Salesforce, the need for robust logging and monitoring mechanisms grows in parallel. This paper proposes a unified framework for logging and monitoring that ensures auditability, transparency, and compliance in AI-augmented Salesforce workflows. By merging AI observability with traditional audit trails and real-time system diagnostics, the framework fosters responsible AI usage and addresses organizational demands for explainability and accountability. We analyze current literature and industry applications to construct a scalable and secure architecture tailored to dynamic CRM environments.